Jingjing Tang - RankMe

68 papers A* 1B 5Misc 1Journal 45Unranked 16

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Do LLMs Act Like Rational Agents? Measuring Belief Coherence in Probabilistic Decision Making. CoRR Khurram Yamin, Jingjing Tang, Santiago Cortes-Gomez, Amit Sharma, Eric Horvitz, Bryan Wilder
2026	J	`jnl`	Efficient and robust kernel learning with class-wise privileged information for pattern classification. Pattern Recognit. Jingjing Tang, Qiao Gou, Saiji Fu, Kun Zhao, Tianyi Dong, Ying Jie Tian
2026	J	`jnl`	M3SPCL: Multi-stage multi-grained multi-view supervised prototypical contrastive learning. Neural Networks Jingjing Tang, Yan Li, Saiji Fu, Ying Jie Tian, Yu Bao
2026	A*	`conf`	Visualising Pianists' Touch: Transcribing Expressive Piano Performance from Audio to Piano Key Motion. CHI Jingjing Tang, Shinichi Furuya, Hayato Nishioka, Momoko Shioki, Geraint A. Wiggins, George Fazekas, Vincent K. M. Cheung
2025	J	`jnl`	An Adaptive Entire-Space Multi-Scenario Multi-Task Transfer Learning Model for Recommendations. IEEE Trans. Knowl. Data Eng. Qingqing Yi, Jingjing Tang, Xiangyu Zhao, Yujian Zeng, Zengchun Song, Jia Wu
2025	J	`jnl`	Hybrid contrastive multi-scenario learning for multi-task sequential-dependence recommendation. Neural Networks Qingqing Yi, Lunwen Wu, Jingjing Tang, Yujian Zeng, Zengchun Song
2025	—	`conf`	MIDI-VALLE: Improving Expressive Piano Performance Synthesis Through Neural Codec Language Modelling. ISMIR Jingjing Tang, Xin Wang, Zhe Zhang, Junichi Yamagishi, Geraint A. Wiggins, George Fazekas
2025	J	`jnl`	MIDI-VALLE: Improving Expressive Piano Performance Synthesis Through Neural Codec Language Modelling. CoRR Jingjing Tang, Xin Wang, Zhe Zhang, Junichi Yamagishi, Geraint A. Wiggins, George Fazekas
2025	—	`conf`	Predicting Language Models' Success at Zero-Shot Probabilistic Prediction. EMNLP (Findings) Kevin Ren, Santiago Cortes-Gomez, Carlos Miguel Patiño, Ananya Joshi, Ruiqi Lyu, Jingjing Tang, Alistair Turcan, Khurram Yamin, Steven Wu, Bryan Wilder
2025	J	`jnl`	Predicting Language Models' Success at Zero-Shot Probabilistic Prediction. CoRR Kevin Ren, Santiago Cortes-Gomez, Carlos Miguel Patiño, Ananya Joshi, Ruiqi Lyu, Jingjing Tang, Alistair Turcan, Khurram Yamin, Steven Wu, Bryan Wilder
2025	J	`jnl`	Real-time forecasting of data revisions in epidemic surveillance streams. PLoS Comput. Biol. Jingjing Tang, Aaron Rumack, Bryan Wilder, Roni Rosenfeld
2025	Misc	`conf`	Towards An Integrated Approach for Expressive Piano Performance Synthesis from Music Scores. ICASSP Jingjing Tang, Erica Cooper, Xin Wang, Junichi Yamagishi, György Fazekas
2025	J	`jnl`	Towards An Integrated Approach for Expressive Piano Performance Synthesis from Music Scores. CoRR Jingjing Tang, Erica Cooper, Xin Wang, Junichi Yamagishi, George Fazekas
2024	J	`jnl`	A risk prediction model based on machine learning algorithm for parastomal hernia after permanent colostomy. BMC Medical Informatics Decis. Mak. Tian Dai, Manzhen Bao, Miao Zhang, Zonggui Wang, Jingjing Tang, Zeyan Liu
2024	J	`jnl`	Advancing robust regression: Addressing asymmetric noise with the BLINEX loss function. Inf. Fusion Jingjing Tang, Bangxin Liu, Saiji Fu, Ying-jie Tian, Gang Kou
2024	J	`jnl`	DMMP: A distillation-based multi-task multi-tower learning model for personalized recommendation. Knowl. Based Syst. Qingqing Yi, Jingjing Tang, Yujian Zeng, Xueting Zhang, Weiqi Xu
2024	B	`conf`	EME33: A Dataset of Classical Piano Performances Guided by Expressive Markings with Application in Music Rendering. IEEE Big Data Tzu-Ching Hung, Jingjing Tang, Kit Armstrong, Yi-Cheng Lin, Yi-Wen Liu
2024	J	`jnl`	Effective image registration model using optimized KAZE algorithm. Multim. Tools Appl. Sheng Zhang, Jie Shen, Shengnan Zheng, Jingjing Tang
2024	J	`jnl`	Generalized robust loss functions for machine learning. Neural Networks Saiji Fu, Xiaoxiao Wang, Jingjing Tang, Shulin Lan, Ying-jie Tian
2024	J	`jnl`	Incomplete multi-view learning: Review, analysis, and prospects. Appl. Soft Comput. Jingjing Tang, Qingqing Yi, Saiji Fu, Ying-jie Tian
2024	J	`jnl`	MVQS: Robust multi-view instance-level cost-sensitive learning method for imbalanced data classification. Inf. Sci. Zhaojie Hou, Jingjing Tang, Yan Li, Saiji Fu, Yingjie Tian
2024	J	`jnl`	Modeling bio-inspired visual neural for detecting visual features of small- and wide-field moving targets synchronously from complex dynamic environments. Signal Image Video Process. Sheng Zhang, Ke Li, Dan Zhou, Jingjing Tang
2024	J	`jnl`	ProSTformer: Progressive Space-Time Self-Attention Model for Short-Term Traffic Flow Forecasting. IEEE Trans. Intell. Transp. Syst. Xiao Yan, Xianghua Gan, Jingjing Tang, Dapeng Zhang, Rui Wang
2024	J	`jnl`	Robust two-stage instance-level cost-sensitive learning method for class imbalance problem. Knowl. Based Syst. Jingjing Tang, Yan Li, Zhaojie Hou, Saiji Fu, Yingjie Tian
2024	J	`jnl`	Universum driven cost-sensitive learning method with asymmetric loss function. Eng. Appl. Artif. Intell. Dalian Liu, Saiji Fu, Ying-jie Tian, Jingjing Tang
2023	J	`jnl`	Coarse-grained privileged learning for classification. Inf. Process. Manag. Saiji Fu, Xiaoxiao Wang, Yingjie Tian, Tianyi Dong, Jingjing Tang, Jicai Li
2023	J	`jnl`	Composer Style-specific Symbolic Music Generation Using Vector Quantized Discrete Diffusion Models. CoRR Jincheng Zhang, Jingjing Tang, Charalampos Saitis, György Fazekas
2023	J	`jnl`	Cost-sensitive learning with modified Stein loss function. Neurocomputing Saiji Fu, Yingjie Tian, Jingjing Tang, Xiaohui Liu
2023	J	`jnl`	Image Super-Resolution via Lightweight Attention-Directed Feature Aggregation Network. ACM Trans. Multim. Comput. Commun. Appl. Li Wang, Ke Li, Jingjing Tang, Yuying Liang
2023	—	`conf`	JAZZVAR: A Dataset of Variations Found within Solo Piano Performances of Jazz Standards for Music Overpainting. CMMR Eleanor Row, Jingjing Tang, György Fazekas
2023	J	`jnl`	JAZZVAR: A Dataset of Variations found within Solo Piano Performances of Jazz Standards for Music Overpainting. CoRR Eleanor Row, Jingjing Tang, George Fazekas
2023	—	`conf`	Multi-view Coherence for Outdoor Reflective Surfaces. ICIC (1) Shuwen Niu, Jingjing Tang, Xingyao Lin, Haoyang Lv, Liang Song, Zihao Jian
2023	J	`jnl`	Multi-view cost-sensitive kernel learning for imbalanced classification problem. Neurocomputing Jingjing Tang, Zhaojie Hou, Xiaotong Yu, Saiji Fu, Yingjie Tian
2023	—	`conf`	Pianist Identification Using Convolutional Neural Networks. IS2 Jingjing Tang, Geraint A. Wiggins, György Fazekas
2023	J	`jnl`	Pianist Identification Using Convolutional Neural Networks. CoRR Jingjing Tang, Geraint A. Wiggins, György Fazekas
2023	—	`conf`	Reconstructing Human Expressiveness in Piano Performances with a Transformer Network. CMMR Jingjing Tang, Geraint A. Wiggins, György Fazekas
2023	J	`jnl`	Reconstructing Human Expressiveness in Piano Performances with a Transformer Network. CoRR Jingjing Tang, Geraint A. Wiggins, George Fazekas
2023	J	`jnl`	Robust multi-view learning with the bounded LINEX loss. Neurocomputing Jingjing Tang, Hao He, Saiji Fu, Yingjie Tian, Gang Kou, Shan Xu
2022	—	`conf`	ATEPP: A Dataset of Automatically Transcribed Expressive Piano Performance. ISMIR Huan Zhang, Jingjing Tang, Syed Rm Rafee, Simon Dixon, George Fazekas, Geraint A. Wiggins
2022	J	`jnl`	Image classification with multi-view multi-instance metric learning. Expert Syst. Appl. Jingjing Tang, Dewei Li, Yingjie Tian
2022	—	`conf`	Large-Scale Multi-Channel Transformer-based Speaker Identification with Knowledge Transfer Using Harmonic-Percussive Source Separation. WOCC Yuejiao Xie, Jingjing Tang, Nan Yang, Man-On Pun
2022	J	`jnl`	Multi-view Teacher-Student Network. Neural Networks Yingjie Tian, Shiding Sun, Jingjing Tang
2021	—	`conf`	Audio-Visual Salient Object Detection. ICIC (2) Shuaiyang Cheng, Liang Song, Jingjing Tang, Shihui Guo
2021	J	`jnl`	Coupling loss and self-used privileged information guided multi-view transfer learning. Inf. Sci. Jingjing Tang, Yiwei He, Yingjie Tian, Dalian Liu, Gang Kou, Fawaz E. Alsaadi
2021	J	`jnl`	Incomplete-view oriented kernel learning method with generalization error bound. Inf. Sci. Yingjie Tian, Saiji Fu, Jingjing Tang
2021	J	`jnl`	Multi-view learning methods with the LINEX loss for pattern classification. Knowl. Based Syst. Jingjing Tang, Weiqi Xu, Jiahui Li, Yingjie Tian, Shan Xu
2021	J	`jnl`	ProSTformer: Pre-trained Progressive Space-Time Self-attention Model for Traffic Flow Forecasting. CoRR Xiao Yan, Xianghua Gan, Jingjing Tang, Rui Wang
2021	J	`jnl`	Robust cost-sensitive kernel method with Blinex loss and its applications in credit risk evaluation. Neural Networks Jingjing Tang, Jiahui Li, Weiqi Xu, Yingjie Tian, Xuchan Ju, Jie Zhang
2021	—	`conf`	The Virtual Camera Path in 3D Animation. ICIC (1) Jingjing Tang, Liang Song, Jiabao Zeng, Juncong Lin
2020	J	`jnl`	Density peaks clustering based on circular partition and grid similarity. Concurr. Comput. Pract. Exp. Jia Zhao, Jingjing Tang, Tanghuai Fan, Chenming Li, Lizhong Xu
2020	J	`jnl`	Improved density peaks clustering based on firefly algorithm. Int. J. Bio Inspired Comput. Jia Zhao, Jingjing Tang, Aiye Shi, Tanghuai Fan, Lizhong Xu
2019	J	`jnl`	Coupling privileged kernel method for multi-view learning. Inf. Sci. Jingjing Tang, Yingjie Tian, Dalian Liu, Gang Kou
2019	J	`jnl`	LGND: a new method for multi-class novelty detection. Neural Comput. Appl. Jingjing Tang, Yingjie Tian, Xiaohui Liu
2018	J	`jnl`	Improved multi-view privileged support vector machine. Neural Networks Jingjing Tang, Yingjie Tian, Xiaohui Liu, Dewei Li, Jia Lv, Gang Kou
2018	B	`conf`	Large-Scale Linear NPSVM via One Permutation Hashing. IJCNN Jingjing Tang, Yingjie Tian, Dalian Liu
2018	—	`conf`	Multi-view Multi-task Support Vector Machine. ICCS (2) Jiashuai Zhang, Yiwei He, Jingjing Tang
2018	J	`jnl`	Multi-view learning based on nonparallel support vector machine. Knowl. Based Syst. Jingjing Tang, Dewei Li, Yingjie Tian, Dalian Liu
2018	J	`jnl`	Multiview Privileged Support Vector Machines. IEEE Trans. Neural Networks Learn. Syst. Jingjing Tang, Yingjie Tian, Peng Zhang, Xiaohui Liu
2018	J	`jnl`	Unsupervised Domain Adaptation Using Exemplar-SVMs with Adaptation Regularization. Complex. Yiwei He, Yingjie Tian, Jingjing Tang, Yue Ma
2017	J	`jnl`	A multi-kernel framework with nonparallel support vector machine. Neurocomputing Jingjing Tang, Yingjie Tian
2017	B	`conf`	Metric learning for multi-instance classification with collapsed bags. IJCNN Dewei Li, Dongkuan Xu, Jingjing Tang, Yingjie Tian
2017	B	`conf`	Multi-view deep metric learning for image classification. ICIP Dewei Li, Jingjing Tang, Yingjie Tian, Xuchan Ju
2017	B	`conf`	Stochastic gradient descent for large-scale linear nonparallel SVM. WI Jingjing Tang, Yingjie Tian, Guoqiang Wu, Dewei Li
2016	—	`conf`	Incorporate Hashing with Multi-view Learning. ICDM Workshops Jingjing Tang, Dewei Li
2015	—	`conf`	Connected bit minwise hashing for large-scale linear SVM. FSKD Jingjing Tang, Yingjie Tian, Dalian Liu
2015	—	`conf`	f-Fractional Bit Minwise Hashing for Large-Scale Learning. WI-IAT (3) Jingjing Tang, Yingjie Tian
2013	—	`conf`	Research on Modeling and Simulation of Virtual Miner Agent in Coalmine Virtual Environment. BIC-TA Jingjing Tang, Zhixiang Yin, Liguo Qu, Chaoli Tang
2010	—	`conf`	Research on Selection of Regional Leading Industry Based on Sustainable. ICEE Haixiang Dong, Jingjing Tang